Data Scientist & Data Engineer: Pipelines & ML Analytics

BOAB Ventures; McLean (VA); On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Flexible time off

Full medical coverage

401(k) with company match

Referral bonuses

Performance bonuses

Life insurance and disability coverage

Tuition and training reimbursement

Job summary

BOAB Ventures is seeking a Data Scientist with strong data engineering capabilities to design, build, and maintain scalable data infrastructure and analytics solutions. You will enable data-driven decision-making and support machine learning across structured and unstructured data environments.

The role focuses on developing robust data pipelines, ETL/ELT workflows, and production-ready data modules, collaborating with stakeholders across teams and translating complex data problems into reusable

Qualifications

• Strong data engineering proficiency with ETL/ELT design and implementation.
• Python programming for data processing and automation.
• Strong SQL skills and relational databases.
• Linux environments with advanced Bash scripting.
• Experience building data pipelines with NiFi or similar tools.
• Experience handling structured and unstructured data.
• Experience Elasticsearch and Kibana for search/visualization.
• Experience with Git-based version control and notebooks.
• Ability to document solutions and brief stakeholders.
• Clear communication with multiple stakeholders.
• Ability to build reusable, tested data solutions.
• Academic or professional background in related fields.

Responsibilities

• Design, build, and maintain scalable data pipelines and infrastructure.
• Develop and optimize ETL/ELT workflows for diverse data sources.
• Build data integration across cloud, web, and on‑prem systems.
• Ensure data quality, security, and reliability across pipelines.
• Develop data processing solutions using Python and Bash in Linux.
• Construct and optimize complex queries across multiple data sources.
• Develop ingestion pipelines using Apache NiFi.
• Process and transform large-scale datasets from varied sources.
• Create reusable Python modules and validated workflows.
• Use Elasticsearch and Kibana for data visualization.
• Document technical solutions for technical and non-technical stakeholders.
• Communicate findings via reports, dashboards, and briefings.
• Collaborate across teams to support data-driven initiatives.
• Contribute to knowledge sharing by mentoring juniors.

Skills

Data engineering

ETL/ELT design

Python processing

SQL & relational DBs

Linux Bash scripting

Apache NiFi

Structured/unstructured data

Elasticsearch & Kibana

Git version control

Jupyter Notebooks

Documentation & briefings

Communication

Reusable data solutions

Math/CS background

Education

Math, statistics, physics, CS, or data science

Tools

Docker

Kubernetes

Tableau

Superset

Neo4j

Git

Apache NiFi

Job description

BOAB Ventures is seeking a Data Scientist with strong data engineering capabilities to design, build, and maintain scalable data infrastructure and analytics solutions. You will enable data-driven decision-making and support machine learning across structured and unstructured data environments.

The role focuses on developing robust data pipelines, ETL/ELT workflows, and production-ready data modules, collaborating with stakeholders across teams and translating complex data problems into reusable